def test_string_unique(item):
ps = pd.Series(item)
gs = Series(item)
# Pandas `unique` returns a numpy array
pres = pd.Series(ps.unique())
# Nvstrings returns sorted unique with `None` placed before other strings
pres = pres.sort_values(na_position="first").reset_index(drop=True)
gres = gs.unique()
assert_eq(pres, gres)
def test_label_encode_dtype(ncats, cat_dtype):
s = Series([str(i % ncats) for i in range(ncats + 1)])
cats = s.unique().astype(s.dtype)
encoded_col = s.label_encoding(cats=cats)
np.testing.assert_equal(encoded_col.dtype, cat_dtype)
